Domain-specific machine learning helps create best-in-class predictions. By aggregating large data sets on consumers, products, and preferences, AI systems can predict the outcomes of consumer studies without the need to run surveys, observations or sensory tests.
At Gastrograph, we have trained our models on the world’s largest sensory database. That means we can predict successful food and beverage innovations without investing time and money to gather fresh data from consumers.
This type of AI also has long term benefits for innovation and insights teams: it turns your sensory and consumer insights data into an asset you can re-use and recycle over time for greater ROI.
Join this session to learn how CPG companies are accelerating innovation pipelines with AI that mines sensory data for insights.
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